Learn how Snowflake makes it easy to try out a new solution for your data warehousing challenges.
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Best Practices for Using Tableau with Snowflake
Snowflake and Tableau are leading technologies that address the twin challenges of harnessing the ever-increasing volumes of varying data, and democratizing modern data analytics so all business users
Propelling Lilly Pulitzer’s Marketing Analytics with a Cloud Data Warehouse
Hear how Lilly Pulitzer, a retail organization specializing in resort wear for women, used Snowflake and Looker to consolidate data sets and deliver real-time insights.
Real-Talk on Retail: Unifying Data Sources for a Single Customer Profile
Topics include: The personalized retail experience in an omni-channel model using the power of the cloud Data ingestion and siloed data sources Unifying click stream and transactional data Acquisiti
Cloud Analytics World Tour Wrap-up Webinar
Thousands of data professionals attended the 2018 Cloud Analytics World Tour in cities around the globe. If you weren’t able to join us, we are bringing the highlights to you. Today’s organizations
Webinar: Making Today's Data Rapidly Consumable
The more diverse and varied data structures become, the more expensive and painful it is for legacy data warehouses to handle the workloads. Data centralisation and transformation are critical compone
Add Embedded Analytics to Deliver Groundbreaking Solutions
Explore how embedded analytics delivers live, interactive and contextual analytical insights from inside transactional business applications, thus speeding up decision making while supporting a wider
Enriching Your Analytics with Shared Data
How to Analyze JSON with SQL
To thrive in today’s world of data, knowing how to manage and derive value from of semi-structured data like JSON is crucial to delivering valuable insight to your organization.
Snowflake & Tableau: Analytics Dream Stack
TDWI Best Practices Report: Emerging Technologies for Business Intelligence, Analytics and Data Warehousing
This report educates organizations worldwide about the inventory of currently available emerging technologies and methods (ETMs) as they apply directly to business intelligence (BI), analytics, and da
TDWI Best Practices Report: BI, Analytics and Cloud Strategies
This report educates organizations in best practices and options for cloud business intelligence (BI) and analytics. This includes organizational strategies for the cloud as well as new platform optio
Gigaom Sector Roadmap: Cloud Analytic Databases 2017
The cloud is proving immensely useful to providing elastic, measurable, on-demand, self-service resources to organizations. The uptake in 2016 has been phenomenal, continuing the biggest transformatio
Within Reach: The End of Your Struggle for Data
A cloud data warehouse that truly takes advantage of modern cloud architecture can increase BI performance by up to 200x for a tenth of the cost of legacy data warehouse systems located on-premises or
The Data Warehouse: The Engine that Drives Analytics
You will learn about the technologies that are now available to enterprises to keep up with the analytics revolution. With a modern cloud data warehouse, you and your organization can be champions.
HIPAA and the Data Warehouse Built for the Cloud
This ebook is specially designed to help business associates understand how the HIPAA Security Rule translates into requirements for technology environments used to manage PHI data.
Data Warehousing and Analytics In the Cloud: Understanding The Options
Webinar: Rue La La Achieves Modern Customer 360 Analytics in the Cloud
A Big Data Problem Rue La La Before Cloud Data Analytics Rue La La stored its structured data in a legacy enterprise data warehouse. Their semi-structured email and clickstream data needed to be hou
Rapid Fire Analytics with Snowflake and Tableau
Learn how Tableau and Snowflake can help you enable rapid-fire exploration and reporting on diverse data.
Data shows cloud-built data warehousing can turn the tide on failed analytics projects
By 2020, the data analytics market will reach $203B but most projects will fail because enterprises rely on legacy data warehouse and noSQL systems to power their data analytics efforts.
IAC Publishing Labs (Ask.com): Combining Data into Actionable Analytics with Snowflake